Daniel Ferguson
- Epidemiology top 10%
- Molecular Biology
- Physiology
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Co-authors
- Brian N. FinckCharles HarrisIrina HutsonKyle S. McCommisGretchen A. MeyerChristine T. N. PhamRobert N. HelsleyLuke E. Springer
- Topics
- Adipose Tissue and Metabolism (8 papers)Liver Disease Diagnosis and Treatment (5 papers)Metabolism and Genetic Disorders (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Daniel Ferguson
21 papers receiving 790 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Epidemiology 369
- Molecular Biology 279
- Physiology 178
- Endocrinology, Diabetes and Metabolism 170
- Surgery 119
Countries citing papers authored by Daniel Ferguson
This map shows the geographic impact of Daniel Ferguson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Ferguson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ferguson more than expected).
Fields of papers citing papers by Daniel Ferguson
This network shows the impact of papers produced by Daniel Ferguson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Ferguson. The network helps show where Daniel Ferguson may publish in the future.
Co-authorship network of co-authors of Daniel Ferguson
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Ferguson. A scholar is included among the top collaborators of Daniel Ferguson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Ferguson. Daniel Ferguson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 14 | |
| 7 | 32 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 27 | |
| 11 | 8 | |
| 12 | Emerging therapeutic approaches for the treatment of NAFLD and type 2 diabetes mellitusbreakdown → | 342 |
| 13 | 1 | |
| 14 | 26 | |
| 15 | 127 | |
| 16 | 15 | |
| 17 | 10 | |
| 18 | 93 | |
| 19 | 16 | |
| 20 | 28 |
About Daniel Ferguson
Daniel Ferguson is a scholar working on Biochemistry, Clinical Biochemistry and Physiology, having authored 22 papers that have together received 794 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Liver Disease Diagnosis and Treatment (5 papers) and Metabolism and Genetic Disorders (4 papers). The work is most often cited by research in Epidemiology (369 citations), Endocrinology, Diabetes and Metabolism (170 citations) and Biochemistry (68 citations). Daniel Ferguson has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Brian N. Finck, Charles Harris, Irina Hutson, Kyle S. McCommis, Gretchen A. Meyer, Christine T. N. Pham, Robert N. Helsley, Luke E. Springer, Yun‐Rak Choi and Farshid Guilak. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.